Unfoldmw: Difference between revisions

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===Purpose===
===Purpose===
Unfolds multiway arrays along specified order.
Unfolds multiway arrays along specified order.
===Synopsis===
===Synopsis===
:mwauf = unfoldmw(mwa,order)
:mwauf = unfoldmw(mwa,order)
===Description===
===Description===
Inputs are the multiway array to be unfolded mwa (class "double" or "dataset"), and the dimension (or mode) number along which to perform the unfolding order.
Inputs are the multiway array to be unfolded mwa (class "double" or "dataset"), and the dimension (or mode) number along which to perform the unfolding order.
The output is the unfolded array mwauf (class "double" or "dataset" depending on the input class).
The output is the unfolded array mwauf (class "double" or "dataset" depending on the input class).
When working with dataset objects, unfoldmw will create label and includ fields consistent with the input. This function is used in the development of PARAFAC models in the alternating least squares steps.
When working with dataset objects, unfoldmw will create label and includ fields consistent with the input. This function is used in the development of PARAFAC models in the alternating least squares steps.
===See Also===
===See Also===
[[mpca]], [[outerm]], [[parafac]], [[reshape]], [[tld]], [[unfoldm]]
[[mpca]], [[outerm]], [[parafac]], [[reshape]], [[tld]], [[unfoldm]]

Revision as of 15:27, 3 September 2008

Purpose

Unfolds multiway arrays along specified order.

Synopsis

mwauf = unfoldmw(mwa,order)

Description

Inputs are the multiway array to be unfolded mwa (class "double" or "dataset"), and the dimension (or mode) number along which to perform the unfolding order.

The output is the unfolded array mwauf (class "double" or "dataset" depending on the input class).

When working with dataset objects, unfoldmw will create label and includ fields consistent with the input. This function is used in the development of PARAFAC models in the alternating least squares steps.

See Also

mpca, outerm, parafac, reshape, tld, unfoldm